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Predicting evolutionary responses to selection on polyandry in the wild: additive genetic covariances with female extra-pair reproduction
The evolutionary forces that underlie polyandry, including extra-pair reproduction (EPR) by socially monogamous females, remain unclear. Selection on EPR and resulting evolution have rarely been explicitly estimated or predicted in wild populations, and evolutionary predictions are vulnerable to bia...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The Royal Society
2012
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3479734/ https://www.ncbi.nlm.nih.gov/pubmed/22993252 http://dx.doi.org/10.1098/rspb.2012.1835 |
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author | Reid, Jane M. |
author_facet | Reid, Jane M. |
author_sort | Reid, Jane M. |
collection | PubMed |
description | The evolutionary forces that underlie polyandry, including extra-pair reproduction (EPR) by socially monogamous females, remain unclear. Selection on EPR and resulting evolution have rarely been explicitly estimated or predicted in wild populations, and evolutionary predictions are vulnerable to bias due to environmental covariances and correlated selection through unmeasured traits. However, evolutionary responses to (correlated) selection on any trait can be directly predicted as additive genetic covariances (cov(A)) with appropriate components of relative fitness. I used comprehensive life-history, paternity and pedigree data from song sparrows (Melospiza melodia) to estimate cov(A) between a female's liability to produce extra-pair offspring and two specific fitness components: relative annual reproductive success (ARS) and survival to recruitment. All three traits showed non-zero additive genetic variance. Estimates of cov(A) were positive, predicting evolution towards increased EPR, but 95% credible intervals overlapped zero. There was therefore no conclusive prediction of evolutionary change in EPR due to (correlated) selection through female ARS or recruitment. Negative environmental covariance between EPR and ARS would have impeded evolutionary prediction from phenotypic selection differentials. These analyses demonstrate an explicit quantitative genetic approach to predicting evolutionary responses to components of (correlated) selection on EPR that should be unbiased by environmental covariances and unmeasured traits. |
format | Online Article Text |
id | pubmed-3479734 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-34797342012-10-30 Predicting evolutionary responses to selection on polyandry in the wild: additive genetic covariances with female extra-pair reproduction Reid, Jane M. Proc Biol Sci Research Articles The evolutionary forces that underlie polyandry, including extra-pair reproduction (EPR) by socially monogamous females, remain unclear. Selection on EPR and resulting evolution have rarely been explicitly estimated or predicted in wild populations, and evolutionary predictions are vulnerable to bias due to environmental covariances and correlated selection through unmeasured traits. However, evolutionary responses to (correlated) selection on any trait can be directly predicted as additive genetic covariances (cov(A)) with appropriate components of relative fitness. I used comprehensive life-history, paternity and pedigree data from song sparrows (Melospiza melodia) to estimate cov(A) between a female's liability to produce extra-pair offspring and two specific fitness components: relative annual reproductive success (ARS) and survival to recruitment. All three traits showed non-zero additive genetic variance. Estimates of cov(A) were positive, predicting evolution towards increased EPR, but 95% credible intervals overlapped zero. There was therefore no conclusive prediction of evolutionary change in EPR due to (correlated) selection through female ARS or recruitment. Negative environmental covariance between EPR and ARS would have impeded evolutionary prediction from phenotypic selection differentials. These analyses demonstrate an explicit quantitative genetic approach to predicting evolutionary responses to components of (correlated) selection on EPR that should be unbiased by environmental covariances and unmeasured traits. The Royal Society 2012-11-22 2012-09-19 /pmc/articles/PMC3479734/ /pubmed/22993252 http://dx.doi.org/10.1098/rspb.2012.1835 Text en This journal is © 2012 The Royal Society http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Reid, Jane M. Predicting evolutionary responses to selection on polyandry in the wild: additive genetic covariances with female extra-pair reproduction |
title | Predicting evolutionary responses to selection on polyandry in the wild: additive genetic covariances with female extra-pair reproduction |
title_full | Predicting evolutionary responses to selection on polyandry in the wild: additive genetic covariances with female extra-pair reproduction |
title_fullStr | Predicting evolutionary responses to selection on polyandry in the wild: additive genetic covariances with female extra-pair reproduction |
title_full_unstemmed | Predicting evolutionary responses to selection on polyandry in the wild: additive genetic covariances with female extra-pair reproduction |
title_short | Predicting evolutionary responses to selection on polyandry in the wild: additive genetic covariances with female extra-pair reproduction |
title_sort | predicting evolutionary responses to selection on polyandry in the wild: additive genetic covariances with female extra-pair reproduction |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3479734/ https://www.ncbi.nlm.nih.gov/pubmed/22993252 http://dx.doi.org/10.1098/rspb.2012.1835 |
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